Downloads · 30 days
9
3% of all-time downloads
plbart-base-finetuned-src_fm_fc-to-target
Minata/plbart-base-finetuned-src_fm_fc-to-target
plbart-base-finetuned-src_fm_fc-to-target is a machine learning model from Minata. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
319
Public
Repo size
1.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin557 MB · 100%
At a glance
- Library
- transformers
- Model type
- plbart
- Access
- Public
- Created
- Feb 19, 2023
- Updated
- Feb 19, 2023
- SHA
- 52cf3612
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
plbart-base-finetuned-src_fm_fc-to-target
This model is a fine-tuned version of uclanlp/plbart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1974
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8454 | 1.0 | 113 | 0.2344 |
| 0.2422 | 2.0 | 226 | 0.2051 |
| 0.2101 | 3.0 | 339 | 0.1974 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- plbart
- Created
- Feb 19, 2023
- Updated
- Feb 19, 2023